Fuzzy hybrid decision model for supplier evaluation and selection

Pandian, R. Sudhakara; Venkumar, P.; Rajakarunakaran, S.

doi:10.1080/00207543.2012.756592

Cited by 82 publications

(31 citation statements)

References 29 publications

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“…Ghorbani, Mohammad Arabzad, and Shahin (2013) combined the fuzzy AHP and Kano model for supplier selection. Pitchipoo, Venkumar, and Rajakarunakaran (2013) combined the fuzzy AHP and grey relational analysis to develop a structured, integrated decision model for evaluating suppliers. Samvedi, Jain, and Chan (2013) quantified risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS.…”

Section: Performance Management Systems and The Fuzzy Ahpmentioning

confidence: 99%

Performance measurement of interorganizational information systems in the supply chain

Liang

2015

International Journal of Production Research

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As corporations rely on collaborations with partners to enhance their competiveness, they use interorganizational information systems (IOIS) as a powerful tool to link with their partners in the supply chain. The purpose of this study is to measure IOIS performance in the supply chain. The proposed framework considers both internal and external organisational perspectives and is based on the balanced scorecard. This study also uses experts' pairwise comparisons in the fuzzy analytic hierarchy process approach to consider the relative weight or importance of diverse indicators of the framework. Then, this study applies the proposed framework to the Taiwanese information technology industry. The results provide references for managers and future researches when assessing IOIS performance in the supply chain. The proposed model can serve as a useful instrument for helping managers to better understand the main facets of IOIS performance, to be more capable of prioritising improvement projects, and to adopt the right solutions to enhance overall performance.

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Section: Performance Management Systems and The Fuzzy Ahpmentioning

confidence: 99%

Performance measurement of interorganizational information systems in the supply chain

Liang

2015

International Journal of Production Research

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“…To control, each manufacturer seeks her own quality control policies. This criterion has been used by several researchers; see Khorasani and Khakzar (2011) and Pitchipoo et al (2013). • Total cost: The emphasis shifts away from the traditional, standard cost of the purchased materials towards the total cost of the part.…”

Section: Numerical Illustration 51 Case Study At Firmmentioning

confidence: 99%

Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study

Heidarzade

Mahdavi

Mahdavi–Amiri

2016

Applied Soft Computing

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“…Lee et al (2009) proposed a model for evaluating green suppliers. More recently, Pitchipoo, Venkumar, and Rajakarunakaran (2013) proposed a structured decision model for evaluating suppliers by combining fuzzy AHP and grey relational analysis. A fuzzy extended AHP based model was constructed next to evaluate green suppliers for an anonymous thin-film transistor-liquid-crystal display manufacturer in Taiwan.…”

Section: Fuzzy Multi-attribute Decision Making Based Integrated Appromentioning

confidence: 99%

Taxonomy and review of non-deterministic analytical methods for supplier selection

Karsak

Dursun

2015

International Journal of Computer Integrated Manufacturing

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Supplier selection is considered to be one of the most critical activities of purchasing management in a supply chain. Selecting the right suppliers significantly reduces the purchasing cost and improves corporate competitiveness. Diverse methods have been developed to date, which address the needs of the supplier selection process. This article presents a review of non-deterministic analytical methods reported in the literature for supporting the supplier selection decision. The review is based on an extensive search in the academic literature from 2001 to 2013. A taxonomy of the supplier selection methods is presented by classifying the published supplier selection studies into two major categories as stochastic methods and fuzzy methods. These methods are further divided into individual approaches and integrated approaches. The objective of this research is threefold. First, it classifies the existing supplier selection literature according to the methods employed and determines the most prevalently used approaches, and also highlights main advantages and shortcomings of these approaches. Second, recent trends in supplier evaluation and selection methodologies are examined. Finally, this study identifies the most widely used decision criteria for supplier selection.

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Fuzzy hybrid decision model for supplier evaluation and selection

Cited by 82 publications

References 29 publications

Performance measurement of interorganizational information systems in the supply chain

Performance measurement of interorganizational information systems in the supply chain

Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study

Taxonomy and review of non-deterministic analytical methods for supplier selection

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